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Abnormal Careers

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&lt;h2&gt;About the Role&lt;/h2&gt;
&lt;p&gt;Abnormal AI is seeking a Data Architect to lead the design and execution of scalable, secure, and intelligent data systems that power our business operations and decision-making. As part of the IT organization, you will define the architecture and strategy for our enterprise data ecosystem, with a focus on governance, quality, and usability. Your work will support cross-functional needs—including G&amp;amp;A, GTM, and product—enabling trusted data for analytics, AI, and business automation.&lt;/p&gt;
&lt;p&gt;This is a foundational role for Abnormal’s data future. You’ll be responsible for implementing data governance frameworks, managing enterprise data models, and guiding the evolution of our cloud-native data infrastructure. The ideal candidate brings deep technical expertise, strong business acumen, and a passion for building systems that scale with excellence.&lt;/p&gt;
&lt;h2&gt;Who you are&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;A systems thinker who designs data architecture to be modular, scalable, and business-aligned.&lt;/li&gt;
&lt;li&gt;Obsessed with data quality and integrity—recognizing governance and MDM as enablers of speed and trust.&lt;/li&gt;
&lt;li&gt;Hands-on technical leader with experience in enterprise data platforms like Snowflake, dbt, and modern ETL tools.&lt;/li&gt;
&lt;li&gt;Someone who thrives in fast-paced environments with shifting priorities and complex stakeholder needs.&lt;/li&gt;
&lt;li&gt;Able to translate business needs into technical solutions while balancing flexibility, security, and compliance.&lt;/li&gt;
&lt;li&gt;An evangelist for data standards, best practices, and the long-term value of clean architecture.&lt;/li&gt;
&lt;li&gt;Naturally collaborative, empathetic, and driven by a desire to support teams through better data.&lt;/li&gt;
&lt;li&gt;Familiar with the demands of cybersecurity or high-growth startup environments.&lt;/li&gt;
&lt;li&gt;Committed to velocity, ownership, and continuous improvement as core ways of working.&lt;/li&gt;
&lt;li&gt;Passionate about the potential of AI and machine learning, and how clean data accelerates that future.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;What you will do&amp;nbsp;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Design and implement scalable, secure, and governed data architecture across enterprise systems.&lt;/li&gt;
&lt;li&gt;Establish and maintain enterprise data models, taxonomies, and metadata management standards.&lt;/li&gt;
&lt;li&gt;Lead the rollout of master data management (MDM) and data governance frameworks.&lt;/li&gt;
&lt;li&gt;Architect and optimize our Snowflake data warehouse and associated tools (e.g., dbt, Fivetran, Sigma).&lt;/li&gt;
&lt;li&gt;Define data integration patterns and ensure high data quality, consistency, and lineage.&lt;/li&gt;
&lt;li&gt;Collaborate across IT, GRC, GTM, and Product teams to support cross-functional data needs.&lt;/li&gt;
&lt;li&gt;Enable self-service analytics and AI/ML capabilities by structuring data for usability and accessibility.&lt;/li&gt;
&lt;li&gt;Monitor, document, and continuously improve data flows, storage, access, and compliance.&lt;/li&gt;
&lt;li&gt;Evaluate and integrate cloud-native data technologies, staying current with trends in data and AI.&lt;/li&gt;
&lt;li&gt;Mentor engineers and analysts on data modeling, system design, and governance best practices.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Must Haves&amp;nbsp;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;7+ years of experience in data architecture, data engineering, or related roles in modern data environments.&lt;/li&gt;
&lt;li&gt;Expertise in cloud-based data warehousing (especially Snowflake), SQL, and data modeling techniques.&lt;/li&gt;
&lt;li&gt;Proven experience implementing enterprise data governance and MDM programs.&lt;/li&gt;
&lt;li&gt;Familiarity with data orchestration and transformation tools like dbt or Airflow.&lt;/li&gt;
&lt;li&gt;Strong understanding of metadata, lineage, and data quality frameworks.&lt;/li&gt;
&lt;li&gt;Deep knowledge of data security, compliance, and privacy in distributed environments.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work cross-functionally and translate business needs into technical architecture.&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills, with a bias for documentation and clarity.&lt;/li&gt;
&lt;li&gt;Experience leading data initiatives in cybersecurity or fast-growing startup settings.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Nice to Have&amp;nbsp;&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Exposure to AI/ML systems and a working knowledge of data readiness for AI applications.&lt;/li&gt;
&lt;li&gt;Experience integrating BI tools (e.g., Sigma, Looker, Tableau) with governed data models.&lt;/li&gt;
&lt;li&gt;Familiarity with data catalogs, lineage tools, or data mesh principles.&lt;/li&gt;
&lt;li&gt;Previous work with real-time or event-based data architectures.&lt;/li&gt;
&lt;li&gt;Certifications in Snowflake, cloud platforms (AWS, GCP, Azure), or data governance frameworks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;#LI-MA1&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div class=&quot;content-pay-transparency&quot;&gt;&lt;div class=&quot;pay-input&quot;&gt;&lt;div class=&quot;description&quot;&gt;&lt;hr&gt;
&lt;p&gt;&lt;br&gt;At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our &lt;span style=&quot;text-decoration: underline;&quot;&gt;&lt;span style=&quot;font-size: 18px;&quot;&gt;&lt;a href=&quot;https://careers.abnormalsecurity.com/benefits-perks&quot; target=&quot;_blank&quot;&gt;&lt;span style=&quot;font-size: 16px;&quot;&gt;Benefits &amp;amp; Perks&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/span&gt; page.&lt;/p&gt;&lt;/div&gt;&lt;div class=&quot;title&quot;&gt;Base salary range:&lt;/div&gt;&lt;div class=&quot;pay-range&quot;&gt;&lt;span&gt;$170,000&lt;/span&gt;&lt;span class=&quot;divider&quot;&gt;&amp;mdash;&lt;/span&gt;&lt;span&gt;$200,000 USD&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;